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    Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida
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    MIT
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    A curated collection of Model Context Protocol (MCP) servers for popular SaaS platforms — Stripe, Sentry, Notion, Linear, Datadog, Vercel, PagerDuty, HubSpot, Intercom, Shopify, Google Workspace
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    MCP server for the Yandex KIT e-commerce API, built with the official Model Context Protocol SDK. It exposes 61 tools over stdio to manage catalog, orders, discounts, and webhooks.
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    MCP server enabling AI assistants to connect to Kula recruiting API for managing jobs, candidates, applications, webhooks, and more.
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    MIT
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    Unified MCP server for Gameball's documentation and API integration, enabling documentation search, code generation, and API operations for customers, transactions, orders, coupons, and more.
    40
    MIT
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    Enables AI agents to search companies, enrich contacts, and reveal emails via Fiber AI's data and tools directly from the editor.
    MIT
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    Enables AI assistants to access toflow.ai workspace for prospecting, multi-channel outreach (email, LinkedIn, WhatsApp), sequences, enrichment, CRM, and AI automations.
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    MIT
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    MCP server for the Rentalot API. Manage rental properties, contacts, showings, conversations, and more from any AI assistant.
    11 npm
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    A focused MCP server for Salesforce CRM that exposes read/write access to standard CRM objects via six tools, designed for multi-tenant gateway deployments.
    19 npm
    MIT
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    A production-style MCP server exposing six business tools (web search, database, CRM, email, calendar, analytics) to AI clients via a secure, authenticated interface, with mock mode and a reference agent client.
    MIT
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    Enables an AI assistant to query existing business systems through narrow typed tools, stage and confirm gated writes, and verify stated figures against source data with freshness checks.
    MIT
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    Enables AI assistants to interact with HubSpot CRM data, providing tools for managing contacts and companies, retrieving activity and conversations, and performing semantic search with vector storage and caching for improved performance.
    MIT
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    Enables AI assistants to securely triage SuperOffice CRM support cases by retrieving tickets, running database diagnostics, searching knowledge bases, and orchestrating cross-system incident investigations.
    MIT
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    Enables AI agents to list and score leads by tier, submit and route new leads with AI scoring, generate personalized follow-up emails, and retrieve conversion funnel statistics. It supports lead analysis and automated routing through MCP tools.
    MIT
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    Enables AI clients to securely interact with Salesforce data using natural language, translating prompts into structured queries for analysis, reporting, and business insights.
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    An open-source, self-hosted MCP server for Apollo.io that gives AI agents direct access to Apollo's B2B sales intelligence database.
    MIT
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    Provides interactive tools to explore AFAS customer data and employee leave information, including bubble charts, leave balance reports, and detailed leave cards.
    804 npm
    MIT
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    MCP server for Kaseya BMS PSA — tickets, accounts, time entries, and contracts. Enables AI assistants to manage service desk operations via the Kaseya BMS API.
    Apache 2.0
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    CRM AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
    6 npm
    36 PyPI
    MIT
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    Live LinkedIn data for AI agents: 44 tools for profiles, companies, jobs, posts, people search, job-change signals and email finding. Hosted remote server (streamable HTTP) - your agent never touches your own LinkedIn account. 300 free credits on signup, no card. Dockerfile in repo bridges stdio clients to the hosted endpoint via mcp-remote.
    MIT
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    An MCP-native CRM backend for AI agents, enabling customer, opportunity, note, follow-up, and pipeline health management through 15 MCP tools.
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    Enables AI agents to extract structured firmographic data from public LinkedIn company URLs, returning fields like name, industry, size, and headquarters.
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    Exposes 104 Odoo tools across CRM, Sales, Inventory, Accounting, and Helpdesk, enabling natural-language control of an Odoo instance via a Telegram assistant with user-level authentication and multi-step orchestration.
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